- F0- No fibrosis, F1- Portal fibrosis without septa, F2- Portal fibrosis with rare septa, F3- Numerous septa without cirrhosis, F4 - Cirrhosis STATISTICAL ANALYSIS Descriptive statistics will be shown as mean ± standard deviation or percentages as appropriate. The patients will be divided according to fibrosis stage. The groups' binary diagnostic by different diagnostic methods will be compared with the gold standard by McNemar's Test. We will use contingency tables to analyze the correlation between sonoelastographic measurements. Factors independently correlated with liver stiffness will be assessed by multiple regression analysis. The diagnostic performance of fibrosis and/or liver stiffness will be determined in terms of sensitivity, specificity, positive and negative predictive values, diagnostic accuracy and area under receiver operating characteristics (ROC) curves. This is a pilot study and the investigators are planning to enroll 100 participants to include in this study. With 100 patients included in this study the investigators can have a > 80% power to detect a significant diagnostic power by SonoElastography with a true AUC between of 0.85 as opposed to the null with an area under the curve (AUC) of 0.62 or lower using a two-sided test with 5% type I error. In addition, multivariate linear and logistic regression models will be used to evaluate the diagnostic power of independent factors taking into account possible confounders by patient demographic and clinical characteristics. The primary outcome of interest will be fibrosis.